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Table Of Contents

Learning Microsoft Cognitive Services - Second Edition

By : Leif Larsen Henning Larsen

2 (1)

Buy this Book

Learning Microsoft Cognitive Services

2 (1)

By: Leif Larsen Henning Larsen

Buy this Book

Overview of this book

Microsoft has revamped its Project Oxford to launch the all new Cognitive Services platform-a set of 30 APIs to add speech, vision, language, and knowledge capabilities to apps. This book will introduce you to 24 of the APIs released as part of Cognitive Services platform and show you how to leverage their capabilities. More importantly, you'll see how the power of these APIs can be combined to build real-world apps that have cognitive capabilities. The book is split into three sections: computer vision, speech recognition and language processing, and knowledge and search. You will be taken through the vision APIs at first as this is very visual, and not too complex. The next part revolves around speech and language, which are somewhat connected. The last part is about adding real-world intelligence to apps by connecting them to Knowledge and Search APIs. By the end of this book, you will be in a position to understand what Microsoft Cognitive Service can offer and how to use the different APIs.

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

Getting Started with Microsoft Cognitive Services

Cognitive Services in action for fun and life-changing purposes

Setting up boilerplate code

Detecting faces with the Face API

An overview of what we are dealing with

Getting feedback on detected faces

Summary

Analyzing Images to Recognize a Face

Learning what an image is about using the Computer Vision API

Diving deep into the Face API

Adding identification to our smart-house application

Automatically moderating user content

Summary

Analyzing Videos

Knowing your mood using the Emotion API

Diving into the Video API

Analyzing emotions in videos

Unlocking video insights using Video Indexer

Summary

Letting Applications Understand Commands

Creating language-understanding models

Training a model

Summary

Speaking with Your Application

Converting text to audio and vice versa

Knowing who is speaking

Verifying a person through speech

Customizing speech recognition

Summary

Understanding Text

Setting up a common core

Correcting spelling errors

Natural Language Processing using the Web Language Model

Extracting information through textual analysis

Exploring text using linguistic analysis

Summary

Extending Knowledge Based on Context

Linking entities based on context

Providing personalized recommendations

Summary

Querying Structured Data in a Natural Way

Tapping into academic content using the Academic API

Creating the backend using the Knowledge Exploration Service

Answering FAQs using QnA Maker

Summary

Adding Specialized Searches

Searching the web from the smart-house application

Getting the news

Searching for images and videos

Helping the user with auto suggestions

Search commonalities

Summary

Connecting the Pieces

Connecting the pieces

Real-life applications using Microsoft Cognitive Services

Where to go from here

Summary

LUIS Entities and Additional Information on Linguistic Analysis

LUIS pre-built entities

Part-of-speech tags

Phrase types

License Information

Video Frame Analyzer

OpenCvSharp3

Newtonsoft.Json

NAudio

Getting Started with Microsoft Cognitive Services

You have just started on the road to learning about Microsoft Cognitive Services. This chapter will serve as a gentle introduction to the services. The end goal is to understand a bit more about what these cognitive APIs can do for you. By the end of this chapter, we will have created an easy-to-use project template. You will have learned how to detect faces in images and have the number of faces spoken back to you.

Throughout this chapter, we will cover the following topics: